EDUCBA Courses

Python: Logistic Regression & Supervised ML

17 ratings at Coursera

Build and evaluate classification models on the Titanic dataset in Python: run EDA and feature engineering, train logistic regression, and read confusion matrices and cross-validation.

• Coursera
• 2 weeks, 2 hours a week
• Self-Paced
• Paid Course

Equity Capital Markets: Analyze & Forecast IPOs

18 ratings at Coursera

Analyze IPOs end to end: work through book building, underwriting agreements, rights issues, and build valuation models using WACC, EBITDA, P/E multiples, and DCF.

• Coursera
• 6 weeks, 4 hours a week
• Self-Paced
• Paid Course

IPO Process: Analyze, Evaluate & Launch

17 ratings at Coursera

Trace how a company goes public: the primary market, fixed price versus book building, IPO grading, merchant bankers, and Green Shoe Option stabilization before listing.

• Coursera
• 2 weeks, 3 hours a week
• Self-Paced
• Paid Course

Build & Implement a 2D Flappy Chopper Game in Unity

18 ratings at Coursera

Build a complete 2D Flappy Chopper game in Unity: prepare sprites, set up camera tracking and physics, spawn obstacles, and add scoring, GUI, and game-over states.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

Credit Research & Ratings: Analyze & Assess Risk

18 ratings at Coursera

Learn how lenders judge creditworthiness: work through the credit research process, credit rating agencies and regulations, KMV and Altman Z-Score models, and bank evaluation criteria.

• Coursera
• 2 weeks, 3 hours a week
• Self-Paced
• Paid Course

Master Revenue Recognition with IFRS 15 & ASC 606

18 ratings at Coursera

Apply the IFRS 15 five-step model to recognize revenue: control transfer, percentage-of-completion, installment sales, franchise arrangements, contract modifications, and IFRS versus US GAAP comparisons.

• Coursera
• 3 weeks, 3 hours a week
• Self-Paced
• Paid Course

Python GUI Development: Design & Build Apps

18 ratings at Coursera

Build desktop applications with Python's Tkinter: design buttons, labels, entry fields and list boxes, then add menus, radio buttons, scales, spin boxes and message boxes.

• Coursera
• 2 weeks, 3 hours a week
• Self-Paced
• Paid Course

Retail Management: Analyze, Plan & Strategize

18 ratings at Coursera

Analyze and plan retail strategy: apply the retail marketing mix, Situational Ethos Analysis, customer classification, catchment-area site selection, merchandise finance, pricing, and promotional integration.

• Coursera
• 5 weeks, 3 hours a week
• Self-Paced
• Paid Course

Machine Learning with Python & Statistics

17 ratings at Coursera

Build the statistical foundation for machine learning: sampling methods, data types, probability distributions, matrices and determinants, hypothesis testing, confidence intervals, t-tests, Chi-square tests and covariance.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

cPanel Basics: Configure, Manage & Optimize

17 ratings at Coursera

Navigate the cPanel dashboard, register domains and connect them to hosting, customize settings, manage user accounts, and handle files and media for website administration.

• Coursera
• 2 weeks, 3 hours a week
• Self-Paced
• Paid Course

Ethical Hacking with Kali Linux: Analyze & Apply

18 ratings at Coursera

Practice hands-on exploitation with Kali Linux: build Android payloads, crack Windows and Linux password hashes, generate wordlists, test WEP/WPA/WPA2 wireless security, and maintain payload persistence.

• Coursera
• 2 weeks, 3 hours a week
• Self-Paced
• Paid Course

Python Fundamentals: Apply Data Structures

17 ratings at Coursera

Practice Python data structures: matrix operations, list concatenation, dictionary merging, collection arithmetic, sorting algorithms, binary search, and string manipulation through coding exercises and quizzes.

• Coursera
• 2 weeks, 3 hours a week
• Self-Paced
• Paid Course

Oracle DBA 21c: Design, Manage & Secure Databases

18 ratings at Coursera

Administer Oracle 21c databases: manage instances and tablespaces, work with control files and undo, build tables, indexes and constraints, enforce user security, and apply blockchain tables.

• Coursera
• 5 weeks, 3 hours a week
• Self-Paced
• Paid Course

Deep Learning with ANN in Python: Build & Optimize

17 ratings at Coursera

Build and optimize artificial neural networks in Python: set up Anaconda and TensorFlow, preprocess and encode data, apply activation functions, and resample imbalanced customer churn data.

• Coursera
• 2 weeks, 3 hours a week
• Self-Paced
• Paid Course

Hedge Fund Structures & Operations: Analyze & Evaluate

18 ratings at Coursera

Analyze how hedge funds are structured and run: investment strategies, fee and remuneration models, series accounting, equalization methods, and capital account management for fair profit allocation.

• Coursera
• 3 hours 31 minutes
• Self-Paced
• Paid Course